Knowledge Graph Construction Method for Commercial Aircraft Fault Diagnosis Based on Logic Diagram Model
Commercial aircraft fault diagnosis is an important means to ensure the reliability and safety of commercial aircraft. Traditional knowledge-driven and data-driven fault diagnosis methods lack interpretability in engineering mechanisms, making them difficult to promote and apply. To address the issu...
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| Format: | Article |
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MDPI AG
2024-09-01
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| Series: | Aerospace |
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| Online Access: | https://www.mdpi.com/2226-4310/11/9/773 |
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| author | Huanchun Peng Weidong Yang |
| author_facet | Huanchun Peng Weidong Yang |
| author_sort | Huanchun Peng |
| collection | DOAJ |
| description | Commercial aircraft fault diagnosis is an important means to ensure the reliability and safety of commercial aircraft. Traditional knowledge-driven and data-driven fault diagnosis methods lack interpretability in engineering mechanisms, making them difficult to promote and apply. To address the issue of lack of interpretability, this paper conducts a fault knowledge graph for commercial aircraft fault diagnosis, using the fault logic in the logic diagram to increase the interpretability of diagnostic work. Firstly, to avoid the inefficiency of logic diagram applications, an executable logic diagram model is established, which can perform mathematical analysis and achieve fault diagnosis and localization using operational data as input. Then, the logic diagram is sorted out to obtain the hidden fault knowledge in the logic diagram, which is used to construct a fault knowledge graph to help achieve cause localization and rapid troubleshooting. The methods proposed in this paper are all validated through case studies of abnormal low-pressure faults in domestic commercial aircraft hydraulic systems. The results show that the logic diagram model can perform model simulation and fault diagnosis based on operational data, and the fault knowledge graph can quickly locate abnormal monitoring parameters and guide troubleshooting work based on existing information. |
| format | Article |
| id | doaj-art-3cb7f68fc1724351bdefd0b951c258f0 |
| institution | OA Journals |
| issn | 2226-4310 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Aerospace |
| spelling | doaj-art-3cb7f68fc1724351bdefd0b951c258f02025-08-20T01:56:09ZengMDPI AGAerospace2226-43102024-09-0111977310.3390/aerospace11090773Knowledge Graph Construction Method for Commercial Aircraft Fault Diagnosis Based on Logic Diagram ModelHuanchun Peng0Weidong Yang1Academy for Engineering and Technology, Fudan University, 220 Handan Rd, Shanghai 200433, ChinaSchool of Computer Science, Fudan University, 220 Handan Rd, Shanghai 200433, ChinaCommercial aircraft fault diagnosis is an important means to ensure the reliability and safety of commercial aircraft. Traditional knowledge-driven and data-driven fault diagnosis methods lack interpretability in engineering mechanisms, making them difficult to promote and apply. To address the issue of lack of interpretability, this paper conducts a fault knowledge graph for commercial aircraft fault diagnosis, using the fault logic in the logic diagram to increase the interpretability of diagnostic work. Firstly, to avoid the inefficiency of logic diagram applications, an executable logic diagram model is established, which can perform mathematical analysis and achieve fault diagnosis and localization using operational data as input. Then, the logic diagram is sorted out to obtain the hidden fault knowledge in the logic diagram, which is used to construct a fault knowledge graph to help achieve cause localization and rapid troubleshooting. The methods proposed in this paper are all validated through case studies of abnormal low-pressure faults in domestic commercial aircraft hydraulic systems. The results show that the logic diagram model can perform model simulation and fault diagnosis based on operational data, and the fault knowledge graph can quickly locate abnormal monitoring parameters and guide troubleshooting work based on existing information.https://www.mdpi.com/2226-4310/11/9/773commercial aircraftlogic diagramfault diagnosisoperating dataknowledge graph |
| spellingShingle | Huanchun Peng Weidong Yang Knowledge Graph Construction Method for Commercial Aircraft Fault Diagnosis Based on Logic Diagram Model Aerospace commercial aircraft logic diagram fault diagnosis operating data knowledge graph |
| title | Knowledge Graph Construction Method for Commercial Aircraft Fault Diagnosis Based on Logic Diagram Model |
| title_full | Knowledge Graph Construction Method for Commercial Aircraft Fault Diagnosis Based on Logic Diagram Model |
| title_fullStr | Knowledge Graph Construction Method for Commercial Aircraft Fault Diagnosis Based on Logic Diagram Model |
| title_full_unstemmed | Knowledge Graph Construction Method for Commercial Aircraft Fault Diagnosis Based on Logic Diagram Model |
| title_short | Knowledge Graph Construction Method for Commercial Aircraft Fault Diagnosis Based on Logic Diagram Model |
| title_sort | knowledge graph construction method for commercial aircraft fault diagnosis based on logic diagram model |
| topic | commercial aircraft logic diagram fault diagnosis operating data knowledge graph |
| url | https://www.mdpi.com/2226-4310/11/9/773 |
| work_keys_str_mv | AT huanchunpeng knowledgegraphconstructionmethodforcommercialaircraftfaultdiagnosisbasedonlogicdiagrammodel AT weidongyang knowledgegraphconstructionmethodforcommercialaircraftfaultdiagnosisbasedonlogicdiagrammodel |